EMAD: A Bridge Tagset for Unifying Arabic POS Annotations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AKLZX3BU9" target="_blank" >RIV/00216208:11320/25:KLZX3BU9 - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195898643&partnerID=40&md5=663dac521408eb798df030d906f564bf" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195898643&partnerID=40&md5=663dac521408eb798df030d906f564bf</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
EMAD: A Bridge Tagset for Unifying Arabic POS Annotations
Original language description
There have been many attempts to model the morphological richness and complexity of Arabic, leading to numerous Part-of-Speech (POS) tagsets that differ in terms of (a) which morphological features they represent, (b) how they represent them, and (c) the degree of specification of said features. Tagset granularity plays an important role in determining how annotated data can be used and for what applications. Due to the diversity among existing tagsets, many annotated corpora for Arabic cannot be easily combined, which exacerbates the Arabic resource poverty situation. In this work, we propose an intermediate tagset designed to facilitate the conversion and unification of different tagsets used to annotate Arabic corpora. This new tagset acts as a bridge between different annotation schemes, simplifying the integration of annotated corpora and promoting collaboration across the projects using them. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
—
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Jt. Int. Conf. Comput. Linguist., Lang. Resour. Eval., LREC-COLING - Main Conf. Proc.
ISBN
978-249381410-4
ISSN
—
e-ISSN
—
Number of pages
7
Pages from-to
5637-5643
Publisher name
European Language Resources Association (ELRA)
Place of publication
—
Event location
Torino, Italia
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—